{"id":"W2122572513","doi":"10.1007/s00339-003-2415-y","title":"Storage of hydrogen on single-walled carbon nanotubes and other carbon structures","year":2004,"lang":"en","type":"article","venue":"Applied Physics A","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; Université du Québec à Trois-Rivières","funders":"AUTO21 Network of Centres of Excellence; Natural Resources Canada","keywords":"Gravimetric analysis; Hydrogen storage; Sorption; Carbon nanotube; Hydrogen; Materials science; Cryo-adsorption; Activated carbon; Adsorption; Carbon fibers; Chemical engineering; Carbide-derived carbon; Bar (unit); Desorption; Context (archaeology); Nanotechnology; Composite material; Carbon nanofiber; Chemistry; Organic chemistry; Composite number","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001230223,0.0002075463,0.0003411766,0.00003323972,0.00005039306,0.00003339588,0.0001559225,0.00008458109,0.00002783104],"category_scores_gemma":[0.000007050091,0.0001796468,0.00003750564,0.00008810891,0.0001170612,0.00002892233,0.00006960918,0.00005576221,0.00001003074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004247814,"about_ca_system_score_gemma":0.0000373778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004347996,"about_ca_topic_score_gemma":0.00001337844,"domain_scores_codex":[0.9989219,0.00002785076,0.0002297016,0.0003270759,0.0002463306,0.000247136],"domain_scores_gemma":[0.9994074,0.00003215441,0.0001406075,0.0003297727,0.00002149497,0.00006853662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006411845,0.00008010097,0.000008073077,0.00003243031,0.00001679323,0.000004351329,0.0008061197,0.00132368,0.9775866,0.01984106,0.000002618705,0.0002340312],"study_design_scores_gemma":[0.000634435,0.0000936512,0.00001007864,0.00001991197,0.00002680906,0.000002144382,0.00004001392,0.00001588245,0.9755115,0.02321164,0.0002430225,0.0001909456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940382,0.00006452266,0.00001844957,0.00001162185,0.0001435865,0.0002608608,0.0000295866,0.00005866833,0.005374559],"genre_scores_gemma":[0.9993464,0.000002900885,0.0002265343,0.0001418876,0.000201058,0.00002491143,0.000003619217,0.00003741007,0.0000152994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005359259,"threshold_uncertainty_score":0.7325782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512523908243608,"score_gpt":0.2224969700150468,"score_spread":0.2073717309326107,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}